Triple
T15026997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Braganza |
E378241
|
entity |
| Predicate | titleStatusAfter1910 |
P82463
|
FINISHED |
| Object | no longer legally recognized in republican Portugal |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: no longer legally recognized in republican Portugal | Statement: [Duke of Braganza, titleStatusAfter1910, no longer legally recognized in republican Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleStatusAfter1910 Context triple: [Duke of Braganza, titleStatusAfter1910, no longer legally recognized in republican Portugal]
-
A.
statusAfter1910
chosen
Indicates the status or condition of an entity as it exists after the year 1910.
-
B.
legalStatusAfter1919
Indicates the legal status or condition of an entity as it existed after the year 1919.
-
C.
statusAfter1917
Indicates the condition or state of an entity as it existed after the year 1917, typically in contrast to its prior status.
-
D.
legalStatusAfter1917
Indicates the legal status or condition of an entity as it existed after the year 1917.
-
E.
statusAfter1918
Indicates the status or condition of an entity as it existed after the year 1918.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:58 a.m.